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dc.contributor.authorKeseci, Baris
dc.contributor.authorDerya, Tusan
dc.contributor.authorDinler, Esra
dc.contributor.authorIc, Yusuf Tansel
dc.date.accessioned2019-05-14T13:32:29Z
dc.date.available2019-05-14T13:32:29Z
dc.date.issued2018
dc.identifier.issn2029-4913
dc.identifier.urihttps://journals.vgtu.lt/index.php/TEDE/article/view/95
dc.identifier.urihttp://hdl.handle.net/11727/3288
dc.description.abstractIn selecting the best mixed integer linear programming (MILP) formulation the important issue is to figure out how to evaluate the performance of each candidate formulation in terms of selected criteria. The main objective of this study is to propose a systematic approach to guide the selection of the best MILP formulation among the alternatives according to the needs of the decision maker. For this reason we consider the problem of "selecting the most appropriate MILP formulation for a certain type of decision maker" as a multi-criteria decision making problem and present an integrated AHP-TOPSIS decision making methodology to select the most appropriate formulation. As an example the proposed decision making methodology is implemented on the selection of the MILP formulations of the Capacitated Vehicle Routing Problem (CVRP). A numerical example is provided for illustrative purposes. As a result, the proposed decision model can be a tool for the decision makers (here they are the scientists, engineers and practitioners) who intend to choose the appropriate mathematical model(s) among the alternatives according to their needs on their studies. The integrated AHP-TOPSIS approach can simply be incorporated into a computer-based decision support system since it has simplicity in both computation and application.en_US
dc.language.isoengen_US
dc.relation.isversionof10.3846/20294913.2016.1213202en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCapacitated vehicle routing problemen_US
dc.subjectAHPen_US
dc.subjectTOPSISen_US
dc.subjectMulti-criteria analysisen_US
dc.subjectOptimizationen_US
dc.subjectOperations researchen_US
dc.subjectMathematical modelen_US
dc.titleA COMPARATIVE STUDY OF THE CAPABILITY OF ALTERNATIVE MIXED INTEGER PROGRAMMING FORMULATIONSen_US
dc.typearticleen_US
dc.relation.journalTECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMYen_US
dc.identifier.volume24en_US
dc.identifier.issue2en_US
dc.identifier.startpage561en_US
dc.identifier.endpage584en_US
dc.identifier.wos000429149800012


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